Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench AI Score
208
Single Precision Score
14790
Half Precision Score
31876
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | mengjou |
| Upload Date | August 03 2025 08:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
64
11.8 IPS |
|
|
Image Classification (HP)
|
100% |
9414
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
15982
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
7823
126.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16075
261.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
735
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
70018
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
235467
276.0 IPS |
|
|
Object Detection (SP)
|
100% |
81
6.45 IPS |
|
|
Object Detection (HP)
|
100% |
10317
818.4 IPS |
|
|
Object Detection (Q)
|
92% |
17257
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (HP)
|
100% |
21707
257.9 IPS |
|
|
Face Detection (Q)
|
97% |
52323
623.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
40536
312.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
94011
750.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (HP)
|
98% |
56918
73.4 IPS |
|
|
Style Transfer (Q)
|
98% |
243814
314.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27169
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55593
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
97
129.6 IPS |
|
|
Text Classification (HP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (Q)
|
95% |
3135
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
188
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (Q)
|
67% |
4964
96.6 IPS |
